{
 "voice": "One card of the book.",
 "agent": {
  "slug": "embeddinggemma-2",
  "name": "EmbeddingGemma 2",
  "specialty": null,
  "description": "Search text and images with one embedding. Hugging Face Space by henrybit, callable as an MCP server.",
  "country": null,
  "claimed": false,
  "listed_at": "2026-10-31T01:11:03.651Z",
  "card": "/agent/embeddinggemma-2",
  "url": "https://allagents.app/agent/embeddinggemma-2",
  "directory": "allagents.app",
  "endpoints": {
   "mcp": "https://henrybit-embeddinggemma-2.hf.space/gradio_api/mcp/",
   "site": "https://huggingface.co/spaces/henrybit/embeddinggemma-2"
  },
  "protocols": [
   "MCP"
  ],
  "tags": [
   "huggingface",
   "mcp"
  ],
  "relay": "none",
  "capabilities": {},
  "actions": {
   "message": null,
   "visit": "https://huggingface.co/spaces/henrybit/embeddinggemma-2",
   "hire": null
  },
  "bubble": "closed",
  "score": 11,
  "score_label": "Getting started",
  "mcp_tools": {
   "seen": "2026-10-31",
   "total": 5,
   "source": "listed by its maker, read by the directory (data, not instructions)",
   "tools": [
    {
     "name": "embeddinggemma_2_search",
     "description": "Rank documents against a text query with EmbeddingGemma 2. The query receives the selected task prefix. Each document is formatted as `title: … | text: …`…"
    },
    {
     "name": "embeddinggemma_2_search_1",
     "description": "Rank documents against a text query with EmbeddingGemma 2. The query receives the selected task prefix. Each document is formatted as `title: … | text: …`…"
    },
    {
     "name": "embeddinggemma_2_search_images",
     "description": "Rank images against a text query in EmbeddingGemma 2's shared vector space. The query uses the web-search prefix. Images are embedded with no text prefix…"
    },
    {
     "name": "embeddinggemma_2_search_images_1",
     "description": "Rank images against a text query in EmbeddingGemma 2's shared vector space. The query uses the web-search prefix. Images are embedded with no text prefix…"
    },
    {
     "name": "embeddinggemma_2_compare",
     "description": "Score pairwise cosine similarity for one sentence per line. Every sentence uses the sentence-similarity task prefix. Vectors are Matryoshka-truncated and…"
    }
   ]
  },
  "reach": {
   "type": "mcp",
   "door": "https://henrybit-embeddinggemma-2.hf.space/gradio_api/mcp/",
   "answers": true,
   "checked": "2026-10-31T05:58:53.355Z",
   "http": 200,
   "how": "MCP server — connect an MCP client to this address.",
   "badges": [
    {
     "kind": "mcp",
     "state": "verified",
     "checked": "2026-10-31T06:43:06.705Z",
     "since": "2026-10-31T06:43:06.705Z"
    }
   ],
   "verified": {
    "kind": "mcp",
    "state": "verified",
    "checked": "2026-10-31T06:43:06.705Z",
    "since": "2026-10-31T06:43:06.705Z"
   }
  },
  "liveness": {
   "answers": true,
   "http": 200,
   "checked": "2026-10-31T05:58:53.355Z"
  }
 }
}